Advisory Board and Editors World Wide Web & Web Science
Henning Schulzrinne
Prof. Henning Schulzrinne, Levi Professor of Computer Science at
Columbia University, received his Ph.D. from the University of
Massachusetts in Amherst, Massachusetts. MTS at AT&T Bell
Laboratories; associate department head at GMD-Fokus (Berlin),
before joining the Computer Science and EE departments at Columbia
University. He served as chair of Computer Science from 2004 to 2009 and
as Chief Technology Officer of the Federal Communications Commission (FCC)
from 2012 until 2014.
Amit Sheth
Educator, Researcher, and Entrepreneur. Founding Director - AI Institute, NCR Professor, and Professor of Comuter SC & Engg, University of South Carolina. Earlier, LexisNexis Ohio Eminent Scholar. Executive Director, Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University. Elected Fellow IEEE, AAAS, AAAI, ACM, and AAIA. Working towards a vision of Computing for Human Experience. His recent work has focused on knowledge-infused learning and neuro-symbolic AI, semantic-cognitive-perceptual computing, and semantics-empowered Physical-Cyber-Social computing. He coined the terms: Smart Data, Semantic Sensor Web, Semantic Perception, Citizen Sensing, etc. He has (co-)founded four companies, including the first Semantic Search company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph, ezDI, which developed knowledge-infused clinical NLP/NLU, and Cognovi Labs at the intersection of emotion and AI. He is particularly proud of the success of his >45 Ph.D. advisees and postdocs.
Julia Stoyanovich
Julia Stoyanovich is an Associate Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science. She was previously Assistant Professor of Computer Science at Drexel University, and a postdoctoral researcher and a CIFellow at the University of Pennsylvania. After receiving her B.S. Julia went on to work for two start-ups and one real company in New York City, where she interacted with, and was puzzled by, a variety of massive datasets. Julia’s research focuses on developing novel information discovery approaches for large datasets in presence of rich semantic
Loren Terveen
Loren Terveen is a Professor of Computer Science at the University of Minnesota.
He has published over 100 scientific papers, holds 9 patents, has advised several startup companies, consulted on intellectual property cases, and has held many leadership positions in his profession.
He has chaired the leading conferences in Human-Computer Interaction and Social Computing, served on the Executive Committee of the ACM Special Interest Group for Computer-Human Interaction, and led the ACM Computer-Supported Cooperative Work community. He is a Distinguished Scientist of the ACM.
Terveen's current research emphases are: crowdsourcing, geographic-based online communities, and recommender systems.
Steven John Thompson
I teach at Savannah State University and at University of Maryland Global Campus. Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 20 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).
Lexing Xie
Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.
Chee Shin Yeo
Chee Shin Yeo has completed both Ph.D. and M. Software Systems Engineering (MSSE) in the Department of Computer Science and Software Engineering (CSSE), The University of Melbourne, Australia in 2008 and 2002 respectively, and a B.Sc. (Hons) in Computer and Information Sciences in the School of Computing (SoC), National University of Singapore (NUS), Singapore in 2001. He is an IEEE Senior Member.
Wenbing Zhao
My primary expertise is in the field of dependable distributed system where I have published extensively on blockchain, Byzantine fault tolerance, intrusion tolerance, replication, and distributed consensus. My secondary expertise, which is also what I find extremely exciting currently, is in the field of smart and connected healthcare with particular interest in human motion recognition, human computer interface, computer vision, machine learning, and fuzzy Inference.
Arkaitz Zubiaga
I'm a senior lecturer (associate professor) at Queen Mary University of London. My research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. I'm particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.